Search Results for "cuda toolkit 6.5"
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Showing 24 open source projects for "cuda toolkit 6.5"
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Speedy Claims became the top CMS-1500 Software by providing the best customer service imaginable to our thousands of clients all over America. Medical billing isn't the kind of thing most people get excited about - it is just a tedious task you have to do. But while it will never be a fun task, it doesn't have to be as difficult or time consumimg as it is now. With Speedy Claims CMS-1500 software you can get the job done quickly and easily, allowing you to focus on the things you love about your job, like helping patients. With a simple interface, powerful features to eliminate repetitive work, and unrivaled customer support, it's simply the best HCFA 1500 software available on the market. A powerful built-in error checking helps ensure your HCFA 1500 form is complete and correctly filled out, preventing CMS-1500 claims from being denied.
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The Vivantio Platform allows you to focus on the IT service management tools that make sense for your organization’s unique service model: from incident, problem and change requests, to service requests, client knowledge and asset management
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NVIDIA Container Toolkit
Build and run Docker containers leveraging NVIDIA GPUs
The NVIDIA Container Toolkit allows users to build and run GPU accelerated Docker containers. The toolkit includes a container runtime library and utilities to automatically configure containers to leverage NVIDIA GPUs. Make sure you have installed the NVIDIA driver and Docker engine for your Linux distribution Note that you do not need to install the CUDA Toolkit on the host system, but the NVIDIA driver needs to be installed. The NVIDIA Container Toolkit supports different container engines... -
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Thrust
The C++ parallel algorithms library
...++ Standard Library is an open-source project; it is available on GitHub and included in the NVIDIA HPC SDK and CUDA Toolkit. If you have one of those SDKs installed, no additional installation or compiler flags are needed to use libcu++. Thrust is a header-only library; there is no need to build or install the project unless you want to run the Thrust unit tests. -
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TensorRT Backend For ONNX
ONNX-TensorRT: TensorRT backend for ONNX
... the docker containers as instructed in the main (TensorRT repository). Note that this project has a dependency on CUDA. By default the build will look in /usr/local/cuda for the CUDA toolkit installation. If your CUDA path is different, overwrite the default path. ONNX models can be converted to serialized TensorRT engines using the onnx2trt executable. -
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OpenVINO Training Extensions
Trainable models and NN optimization tools
OpenVINO™ Training Extensions provide a convenient environment to train Deep Learning models and convert them using the OpenVINO™ toolkit for optimized inference. When ote_cli is installed in the virtual environment, you can use the ote command line interface to perform various actions for templates related to the chosen task type, such as running, training, evaluating, exporting, etc. ote train trains a model (a particular model template) on a dataset and saves results in two files. ote... -
ManageEngine's Endpoint Central is a Unified Endpoint Management Solution, that takes care of enterprise mobility management (including all features of mobile application management and mobile device management), as well as client management for a diversified range of endpoints - mobile devices, laptops, computers, tablets, server machines etc. With ManageEngine Endpoint Central, users can automate their regular desktop management routines like distributing software, installing patches, managing IT assets, imaging and deploying OS, and more.
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GoCV
Go package for computer vision using OpenCV 4 and beyond
GoCV gives programmers who use the Go programming language access to the OpenCV 4 computer vision library. The GoCV package supports the latest releases of Go and OpenCV v4.5.4 on Linux, macOS, and Windows. Our mission is to make the Go language a “first-class” client compatible with the latest developments in the OpenCV ecosystem. Computer Vision (CV) is the ability of computers to process visual information, and perform tasks normally associated with those performed by humans. CV software... -
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SageMaker MXNet Inference Toolkit
Toolkit for allowing inference and serving with MXNet in SageMaker
SageMaker MXNet Inference Toolkit is an open-source library for serving MXNet models on Amazon SageMaker. This library provides default pre-processing, predict and postprocessing for certain MXNet model types and utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning... -
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G2SConverter
Convert models from GoldSource engine to Source engine with AI
Convert models from GoldSource engine to the Source engine with AI. This utility converts GoldSource engine models to Source engine models. A feature of this utility is the ability to improve the quality of textures of models using Upscaling, deblurring, and normal map generating. All operations to improve the quality of textures are performed by neural networks. To improve the quality of the texture, it is first Upscaled using RealESRGAN. The user can select scaling factor: x2, x4 or x8.... -
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DomE
Implements a reference architecture for creating information systems
DomE Experiment is an implementation of a reference architecture for creating information systems from the automated evolution of the domain model. The architecture comprises elements that guarantee user access through automatically generated interfaces for various devices, integration with external information sources, data and operations security, automatic generation of analytical information, and automatic control of business processes. All these features are generated from the domain... -
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CUDAnative.jl
Julia support for native CUDA programming
The programming support for NVIDIA GPUs in Julia is provided by the CUDA.jl package. It is built on the CUDA toolkit and aims to be as full-featured and offer the same performance as CUDA C. The toolchain is mature, has been under development since 2014, and can easily be installed on any current version of Julia using the integrated package manager. -
With the world of work changed forever, it’s essential to manage your workplace and assets together to effectively create a high-performing environment. The Eptura experience combines the power of workplace management software with asset management, enabling you to effectively operate your building and facilitate hybrid work.
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CUDALucas
A program that uses CUDA to accelerate the Lucas Lehmer test.
CUDALucas is a program implementing the Lucas-Lehmer primality test for Mersenne numbers using the Fast Fourier Transform implemented by nVidia's cuFFT library. You need a CUDA-capable nVidia card with compute compatibility >= 1.3 up to CUDA 6.5, 2.x up to 7.0 and 3.x for >=CUDA 8.0 . The program is run from the command line, however it can be configured without using a terminal. See the Wiki for more details. README for new users available at the Files/Downloads page. -
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HVVR
Hierarchical visibility for VR and real time rendering of effects
... dependency tracking. If you're seeing behavior after code modification that looks like stale code from header files referenced in .cu files, try cleaning the solution and building from scratch (or install a newer CUDA Toolkit). -
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Barracuda is a high-speed sequence aligner based on Sanger's BWA and utilizes the latest Nvidia CUDA architecture for accelerating alignments of sequence reads generated by next-generation sequencers.
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OpenCV CUDA Binaries
OpenCV Pre-built CUDA binaries
.../opencvcuda-debug/ Packages for Release and Debug configurations (due to file size limitations on nuget.org) built with CUDA Toolkit 7.0.0 targeting architectures 2.0, 2.1, 3.0, 3.5, 3.7, 5.0, 5.2 suitable for Visual Studio 2013. -
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MXLib is a C++ wrapper around the Intel® Integrated Performance Primitives (IPP) library and NVidia NPP CUDA library. You can use either IPP code (or a subset of functions that do not require IPP) on the CPU side, or use NPP/CUDA on the GPU side, or use both together. The function syntax is similar to that found in MatLab and the library is designed to make it easy to port your code from MatLab to C++. The idea is to provide Scientists, Engineers, Researchers and other non full-time...
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PHP TC
PHP web frontend for configuring the Linux traffic controller.
Linux comes with a powerful network emulation toolkit called "Traffic Controller", or simply "TC". This toolkit allows you to simulate packet delay, packet loss, bandwidth throttling, and more. This is very useful for developing and testing applications that utilize the network. To verify your designs and implementations function stable under various networking conditions. TC however is a command line tool. It requires knowledge of queuing disciplines and the syntax to configure a hierarchical... -
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GPU Edge Detector
GPU Interactive Program For Edge detection
... variables such as sigma in Canny and see the result in real-time. To access and download the code, please review the code section. (The code section is currently close until our article gets published) Commiting publicly to the project is currently closed but feel free to email us. The source code is dependant on CUDA 5.0 Samples now available as part of the CUDA Toolkit. "This software contains source code provided by NVIDIA Corporation." -
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VolTK
A Lightweighted Toolkit For Volume Rendering
A Lightweighted Toolkit For Volume Rendering Project Started by Fei Yang Provide both CPU based and GPU (CUDA) based volume rendering. See http://www.fei-yang.org/?page_id=12 for complete descriptions and package downloads VolTK is a free C++ Toolkit that implements a tri-layer volume rendering framework, which is designed to meet the requirements of both algorithm research and application assemblage. Features * Tri-layer volume rendering * CPU implementation: multi-threading supported... -
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AEGIS ARIA Palette - plugin provides palette with jQuery, MooTools and Fluid Infusion toolkit components that are upgraded according to ARIA specification. This palette allows easy and fast building of ARIA application based on these components. AEGIS ARIA Application - plugin provides predefined project structure for AEGIS ARIA application using XHTML and JavaScript components based on MooTools , jQuery, and Fluid Infusion frameworks. AEGIS ARIA Samples - plugin provides AEGIS ARIA sample...
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A VS Project Wizard for CUDA. After you install the CUDA VS Wizard, you can see the CUDAWinApp in your Visual Studio installed templates Category. Then it's easy to create a new CUDA project in VS. It can support Windows 32bit & 64bit system, VS2005 & V
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Swift Sequence Alignment Program
GPU-based DNA sequence alignment program using Smith-Waterman
Swift is a DNA sequence alignment program that produces gapped alignment using the Smith-Waterman algorithm. It takes in a query file (FASTA format) and a reference file (FASTA format) as input. It outputs the reference name, read name, gapped alignment, alignment score, alignment start and end positions, and alignment length. I gave a talk on Swift in the GPU Technology Conference 2012. The talk can be accessed at... -
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CUDA-SPHERE-FWD-MEEG
CUDA accelerated spherical model forward solution for EEG/MEG
CUDA-SPHERE-FWD-MEEG is a CUDA C based toolkit which provides a GPU based implementation of the spherical model forward solution for the 306 channel Elekta Neuromag MEG system and the EEG. The 1-Sphere forward solution for the MEG and the 4-Sphere forward solution for the EEG is implemented in CUDA C and an accelerated solution is obtained using the NVIDIA GPU when the solution is calculated for a large number of dipoles (on the order of 15000 and above) and sensor locations. Speedup... -
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This project shows how to integrate NVIDIA CUDA GPU programming API into ITK (Insight Segmentation and Registration Toolkit) library
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Monk Computer Vision
A low code unified framework for computer vision and deep learning
Monk is an open source low code programming environment to reduce the cognitive load faced by entry level programmers while catering to the needs of Expert Deep Learning engineers. There are three libraries in this opensource set. - Monk Classiciation- https://monkai.org. A Unified wrapper over major deep learning frameworks. Our core focus area is at the intersection of Computer Vision and Deep Learning algorithms. - Monk Object Detection -... -
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Virtual Media Station
In The Cloud Computing On Java
Proof That Carma Always Gets You Back Nvidia / Cuda Developer Directed Of Course To The Confusion And Scare Tactics Of Haters This Only Gets Better And Tighter And Even More Creative The Design Feed Of Sound The Whole Idea
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